Problem
A company is planning to interview 2n
people. Given the array costs
where costs[i] = [aCostᵢ, bCostᵢ]
, the cost of flying the iᵗʰ
person to city a
is aCostᵢ
, and the cost of flying the iᵗʰ
person to city b
is bCostᵢ
.
Return the minimum cost to fly every person to a city such that exactly n
people arrive in each city.
https://leetcode.com/problems/two-city-scheduling/
Example 1:
Input:
costs = [[10,20],[30,200],[400,50],[30,20]]
Output:110
Explanation:
The first person goes to city A for a cost of 10.
The second person goes to city A for a cost of 30.
The third person goes to city B for a cost of 50.
The fourth person goes to city B for a cost of 20.The total minimum cost is
10 + 30 + 50 + 20 = 110
to have half the people interviewing in each city.
Example 2:
Input:
costs = [[259,770],[448,54],[926,667],[184,139],[840,118],[577,469]]
Output:1859
Example 3:
Input:
costs = [[515,563],[451,713],[537,709],[343,819],[855,779],[457,60],[650,359],[631,42]]
Output:3086
Constraints:
2 * n == costs.length
2 <= costs.length <= 100
costs.length
is even.1 <= aCostᵢ, bCostᵢ <= 1000
Test Cases
1 | class Solution: |
1 | import pytest |
Thoughts
不妨先让所有人都去城市 A,总成本为 ΣaCostᵢ
。然后需要把 n 个人改派到城市 B。如果把第 i 个人改派到城市 B,成本的变化为 bCostᵢ - aCostᵢ
,显然这个值越小越好。
所以对 costs 按照 bCostᵢ - aCostᵢ
排序,前边 n 个人去城市 B,后边 n 个人去城市 A,这样总的成本最低。
时间复杂度 O(n log n)
。用 in-place 排序,附加的空间复杂度 O(1)
。
Code
1 | class Solution: |